Standard-setting, groundbreaking, authoritative, comprehensive—these often overused
words perfectly describe The Circuits and Filters Handbook, Third Edition. This standard …

We present here a simple multi‐layer cellular neural/non‐linear network (CNN) model of the
mammalian retina, capable of implementation on CNN Universal Machine (CNN‐UM) chips …

A bio-inspired model for an analog programmable array processor (APAP), based on
studies on the vertebrate retina, has permitted the realization of complex programmable …

We present here new cellular neural/non‐linear networks (CNN)‐based emulated digital
architectures specifically designed for the solution of different partial differential equations …

The paper addresses the issue of implementing an embedded global analogic programming
unit (GAPU) on the reconfigurable emulated‐digital cellular neural/nonlinear networks …

A thin-layer Belousov–Zhabotinsky (BZ) medium is a powerful computing device capable for
implementing logical circuits, memory, image processors, robot controllers, and …

A bio-inspired MOS cell design for reaction-diffusion systems with corresponding single-
layer cellular neural network (CNN) implementation is presented. The resulting network …

Nanotechnology opens new ways to utilize recent discoveries in biological image
processing by translating the underlying functional concepts into the design of CNN (cellular …

There is hardly a more important sensory modality for humans and other mammals than
vision. The first and best-known part of the visual system is the retina, which is not a mere …

Some features of the biological retina can be modelled by a 2-layer cellular neural network
(CNN) composed of locally connected elementary nonlinear processors. In order to explore …